{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "#导入mindspore框架\n",
    "import mindspore as ms\n",
    "#导入mindspore中Neural Networks(nn)模块，包含预先定义的构建块或计算单元来构建神经网络。\n",
    "from mindspore import nn\n",
    "#导入mindspore中context模块，用于配置当前执行环境，包括执行模式等特性。\n",
    "from mindspore import context\n",
    "#导入参数初始化模块\n",
    "from mindspore.common.initializer import Normal\n",
    "from IPython.display import clear_output\n",
    "%matplotlib inline\n",
    "\n",
    "# 设置MindSpore的执行模式和设备\n",
    "context.set_context(mode=context.GRAPH_MODE, device_target='GPU')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "outputs": [],
   "source": [
    "N_SAMPLES = 40 #样本数\n",
    "BATCH_SIZE = 40  #批量大小\n",
    "NOISE_RATE = 0.2  #噪声率\n",
    "INPUT_DIM = 1  #输入维度\n",
    "HIDDEN_DIM = 100  #隐藏层维度\n",
    "OUTPUT_DIM = 1   #输出维度\n",
    "N_LAYERS = 6 #隐藏层数目\n",
    "ITERATION = 1500   #最大输入迭代\n",
    "LEARNING_RATE = 0.003  #学习率\n",
    "DROPOUT_RATE = 0.7\n",
    "WEIGHT_DECAY = 1e-4  #L2正则化惩罚数值\n",
    "MAX_COUNT = 20  #最早终止参数\n",
    "ACTIVATION = nn.LeakyReLU #激活函数\n",
    "\n",
    "#固定结果\n",
    "def fix_seed(seed=1):\n",
    "    # reproducible\n",
    "    random.seed(seed)\n",
    "    np.random.seed(seed)\n",
    "\n",
    "# 小批量样本索引\n",
    "def sample_idx(m, n):\n",
    "    A = np.random.permutation(m)\n",
    "    idx = A[:n]\n",
    "    return idx"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "outputs": [],
   "source": [
    "#建立数据集x值，y值\n",
    "fix_seed(5)\n",
    "data_x = np.linspace(-1, 1, num=int(N_SAMPLES*2.5))[:, np.newaxis]\n",
    "data_y = np.cos(np.pi*data_x)\n",
    "p = np.random.permutation(len(data_x))\n",
    "#建立训练集，测试集，验证集\n",
    "train_x, train_y = data_x[p[0:N_SAMPLES]], data_y[p[0:N_SAMPLES]]\n",
    "test_x, test_y = data_x[p[N_SAMPLES:N_SAMPLES*2]], data_y[p[N_SAMPLES:N_SAMPLES*2]]\n",
    "validate_x, validate_y = data_x[p[N_SAMPLES*2:]], data_y[p[N_SAMPLES*2:]]\n",
    "#设置y值噪声\n",
    "noise = np.random.normal(0, NOISE_RATE, train_y.shape)\n",
    "train_y += noise"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "#自定义Cosine网络\n",
    "class CosineNet(nn.Cell):\n",
    "    def __init__(self, batchnorm, dropout):\n",
    "        super(CosineNet, self).__init__()\n",
    "        layers = []\n",
    "        if batchnorm:\n",
    "            layers.append(nn.BatchNorm2d(INPUT_DIM))\n",
    "\n",
    "        # 初始化隐含层\n",
    "        for l_n in range(N_LAYERS):\n",
    "            in_channels = HIDDEN_DIM if l_n > 0 else INPUT_DIM\n",
    "            # 这里使用1x1Conv代替全连接算子，可以与BatchNorm2d算子配合的更好\n",
    "            conv = nn.Conv2d(in_channels, HIDDEN_DIM, kernel_size=1, pad_mode='valid', has_bias=True, weight_init=Normal(0.01))\n",
    "            layers.append(conv)\n",
    "            if batchnorm:\n",
    "                layers.append(nn.BatchNorm2d(HIDDEN_DIM))\n",
    "            if dropout:\n",
    "                layers.append(nn.Dropout(DROPOUT_RATE))\n",
    "            layers.append(ACTIVATION())\n",
    "        self.layers = nn.SequentialCell(layers)\n",
    "\n",
    "        # 初始化输出层\n",
    "        self.flatten = nn.Flatten() # 将(N,C,H,W)4维数据转为(N,C*H*W)2维\n",
    "        self.fc = nn.Dense(HIDDEN_DIM, OUTPUT_DIM, weight_init=Normal(0.1), bias_init='zeros')\n",
    "\n",
    "    def construct(self, x):\n",
    "            # 构建隐含层\n",
    "            x = self.layers(x)\n",
    "            # 构建输出层\n",
    "            x = self.flatten(x)\n",
    "            x = self.fc(x)\n",
    "            return x"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [],
   "source": [
    "def build_fn(batchnorm, dropout, l2):\n",
    "    # 实例化网络、Loss、optimizer\n",
    "    net = CosineNet(batchnorm=batchnorm, dropout=dropout)\n",
    "    loss = nn.loss.MSELoss()\n",
    "    opt = nn.optim.Adam(net.trainable_params(), learning_rate=LEARNING_RATE, weight_decay=WEIGHT_DECAY if l2 else 0.0)\n",
    "    # 构建计算loss和训练用的模块\n",
    "    with_loss = nn.WithLossCell(net, loss)\n",
    "    train_step = nn.TrainOneStepCell(with_loss, opt).set_train()\n",
    "    return train_step, with_loss, net\n",
    "\n",
    "# 针对5种不同设置，创建不同的训练任务\n",
    "fc_train, fc_loss, fc_predict = build_fn(batchnorm=False, dropout=False, l2=False) # 默认任务\n",
    "dropout_train, dropout_loss, dropout_predict = build_fn(batchnorm=False, dropout=True, l2=False) # 实验dropout功能\n",
    "bn_train, bn_loss, bn_predict = build_fn(batchnorm=True, dropout=False, l2=False) # 实验batchnorm功能\n",
    "l2_train, l2_loss, l2_predict = build_fn(batchnorm=False, dropout=False, l2=True) # 实验l2 regularization功能\n",
    "early_stop_train, early_stop_loss, early_stop_predict = build_fn(batchnorm=False, dropout=False, l2=False) # 实验Early Stop功能\n",
    "\n",
    "# 辅助函数，用于设置网络是否为train状态，用于batchnorm，dropout等算子判断是否处于train状态。\n",
    "nets_train = [fc_train, dropout_train, bn_train, l2_train, early_stop_train]\n",
    "nets_loss = [fc_loss, dropout_loss, bn_loss, l2_loss, early_stop_loss]\n",
    "nets_predict = [fc_predict, dropout_predict, bn_predict, l2_predict, early_stop_predict]\n",
    "\n",
    "def set_train(nets, mode=True):\n",
    "    for net in nets:\n",
    "        net.set_train(mode=mode)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "# 将喂给网络的数据由(N,C)2维转为将(N,C,H,W)4维\n",
    "data_xt, data_yt = ms.Tensor(data_x.reshape(data_x.shape + (1, 1)), ms.float32), ms.Tensor(data_y, ms.float32)\n",
    "test_xt, test_yt = ms.Tensor(test_x.reshape(test_x.shape + (1, 1)), ms.float32), ms.Tensor(test_y, ms.float32)\n",
    "validate_xt, validate_yt = ms.Tensor(validate_x.reshape(validate_x.shape + (1, 1)), ms.float32), ms.Tensor(validate_y, ms.float32)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1500x1000 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 设置提前终止(Early Stop)用到的一些指标\n",
    "early_stop = False # 为True时，终止相关的训练\n",
    "min_val_loss = 1 # 足够大的初始值，训练过程中用于记录最小的验证loss\n",
    "count = 0 # 训练迭代过程中，验证loss连续多少次大于min_val_loss\n",
    "\n",
    "for it in range(ITERATION):\n",
    "    # 每个迭代随机从训练集中选择一个batch的样本，当batch_size==N_SAMPLES时，仅作了shuffle\n",
    "    mb_idx = sample_idx(N_SAMPLES, BATCH_SIZE)\n",
    "    x_batch, y_batch = train_x[mb_idx, :], train_y[mb_idx, :]\n",
    "    x_batch, y_batch = ms.Tensor(x_batch.reshape(x_batch.shape + (1, 1)), ms.float32), ms.Tensor(y_batch, ms.float32)\n",
    "\n",
    "    set_train(nets_train, True) # 将网络设置为train状态\n",
    "    fc_train(x_batch, y_batch)\n",
    "    dropout_train(x_batch, y_batch)\n",
    "    bn_train(x_batch, y_batch)\n",
    "    l2_train(x_batch, y_batch)\n",
    "    # 为True时，终止相关的训练\n",
    "    if not early_stop:\n",
    "        early_stop_train(x_batch, y_batch)\n",
    "\n",
    "    if it % 20 == 0:\n",
    "        set_train(nets_loss+nets_predict, False) # 将网络设置为非train状态\n",
    "        # 计算各模型在测试集上的loss\n",
    "        loss_fc = fc_loss(test_xt, test_yt)\n",
    "        loss_dropout = dropout_loss(test_xt, test_yt)\n",
    "        loss_bn = bn_loss(test_xt, test_yt)\n",
    "        loss_l2 = l2_loss(test_xt, test_yt)\n",
    "        loss_early_stop = early_stop_loss(test_xt, test_yt)\n",
    "\n",
    "        # 计算各模型在全量样本上的预测值，用于评估模型的拟合效果\n",
    "        all_fc = fc_predict(data_xt)\n",
    "        all_dropout = dropout_predict(data_xt)\n",
    "        all_bn = bn_predict(data_xt)\n",
    "        all_l2 = l2_predict(data_xt)\n",
    "        all_early_stop = early_stop_predict(data_xt)\n",
    "\n",
    "        # 对于Early Stop任务，当验证集loss连续MAX_COUNT次大于min_val_loss时，终止该任务的训练\n",
    "        if not early_stop:\n",
    "            val_loss = early_stop_loss(validate_xt, validate_yt)\n",
    "            if val_loss > min_val_loss:\n",
    "                count += 1\n",
    "            else:\n",
    "                min_val_loss = val_loss\n",
    "                count = 0\n",
    "\n",
    "            if count == MAX_COUNT:\n",
    "                early_stop = True\n",
    "                print('='*10, 'early stopped', '='*10)\n",
    "\n",
    "        # 画图\n",
    "        plt.figure(1, figsize=(15,10))\n",
    "        plt.cla()\n",
    "        plt.scatter(train_x, train_y, c='magenta', s=50, alpha=0.3, label='train samples')\n",
    "        plt.scatter(test_x, test_y, c='cyan', s=50, alpha=0.3, label='test samples')\n",
    "        plt.plot(data_x, all_fc.asnumpy(), 'r', label='overfitting')\n",
    "        plt.plot(data_x, all_l2.asnumpy(), 'y', label='L2 regularization')\n",
    "        plt.plot(data_x, all_early_stop.asnumpy(), 'k', label='early stopping')\n",
    "        plt.plot(data_x, all_dropout.asnumpy(), 'b', label='dropout({})'.format(DROPOUT_RATE))\n",
    "        plt.plot(data_x, all_bn.asnumpy(), 'g', label='batch normalization')\n",
    "        plt.text(-0.1, -1.2, 'overfitting loss=%.4f' % loss_fc.asnumpy(), fontdict={'size': 20, 'color': 'red'})\n",
    "        plt.text(-0.1, -1.5, 'L2 regularization loss=%.4f' % loss_l2.asnumpy(), fontdict={'size': 20, 'color': 'y'})\n",
    "        plt.text(-0.1, -1.8, 'early stopping loss=%.4f' % loss_early_stop.asnumpy(), fontdict={'size': 20, 'color': 'black'})\n",
    "        plt.text(-0.1, -2.1, 'dropout loss=%.4f' % loss_dropout.asnumpy(), fontdict={'size': 20, 'color': 'blue'})\n",
    "        plt.text(-0.1, -2.4, 'batch normalization loss=%.4f' % loss_bn.asnumpy(), fontdict={'size': 20, 'color': 'green'})\n",
    "\n",
    "        plt.legend(loc='upper left');\n",
    "        plt.ylim((-2.5, 2.5));\n",
    "        clear_output(wait=True)\n",
    "        plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
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